10x Xenium
Human macula lutea
GSM9485163
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 54462, 14297), (1, 27231, 7148), (1, 13615, 3574), (1, 6807, 1787), (1, 3403, 893)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (53923, 13634), (26961, 6817), (13480, 3408), (6740, 1704), (3370, 852)
│ └── 'nucleus_labels': DataTree[yx] (53655, 12519), (26827, 6259), (13413, 3129), (6706, 1564), (3353, 782)
├── Points
│ └── 'transcripts': DataFrame with shape: (10211592, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (29053, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (29053, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (29837, 2) (2D shapes)
└── Tables
└── 'table': AnnData (29053, 5100)
with coordinate systems:
▸ 'global', with elements:
morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("uFQmyctmhCrYHJWR") # latest version
sdata = artifact.load() # cache, then load into memory
group = artifact.open() # stream without downloading
path = artifact.cache() # sync into the local cache, returns the path Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/uFQmyctmhCrYHJWR
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid uFQmyctmhCrYHJWR Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["uFQmyctmhCrYHJWR0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- macula lutea
- Modality
- RNA
- Observations
- 29,053
- Transcripts
- 10,211,592
- Tier
- silver
- Size
- 898 MB
- Sample ID
- GSM9485163
- License
- unknown
- Published
- Oct 2, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB